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Author Bonino, D. ♦ Corno, F. ♦ Squillero, G.
Sponsorship IEEE Comput. Soc. Tech. Committee on Computational Intelligence (TCCI) ♦ Web Intelligence Consortium (WIC)
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2003
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Availability ♦ Navigation ♦ Prefetching ♦ Automata ♦ Evolutionary computation ♦ Predictive models ♦ Internet ♦ Frequency measurement ♦ Web sites ♦ Portals
Abstract As an increasing number of users access information on the World Wide Web, there is a opportunity to improve well known strategies for Web caching, prefetching, dynamic user modeling and dynamic site customization in order to obtain better subjective performance and satisfaction in Web surfing. We propose a new method to exploit user navigational path behavior to predict, in real-time, future requests. Predicting user next requests is useful not only for document caching/prefetching, it is also suitable for quick dynamic portal adaptation to user behavior. Real-time user adaptation prevents the use of statistical techniques on Web logs, and we propose the adoption of a predictive user model based on finite state machines together with an evolutionary algorithm that evolves a population of FSMs for achieving a good prediction rate.
Description Author affiliation: Dipt. di Autom. e Inf., Politecnico di Torino, Italy (Bonino, D.; Corno, F.; Squillero, G.)
ISBN 0769519326
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2003-10-13
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 575.39 kB
Page Count 7
Starting Page 139
Ending Page 145


Source: IEEE Xplore Digital Library